Radhakant Padhi

2.4k total citations
147 papers, 1.8k citations indexed

About

Radhakant Padhi is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Radhakant Padhi has authored 147 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Aerospace Engineering, 72 papers in Control and Systems Engineering and 27 papers in Computational Theory and Mathematics. Recurrent topics in Radhakant Padhi's work include Guidance and Control Systems (61 papers), Adaptive Control of Nonlinear Systems (49 papers) and Spacecraft Dynamics and Control (28 papers). Radhakant Padhi is often cited by papers focused on Guidance and Control Systems (61 papers), Adaptive Control of Nonlinear Systems (49 papers) and Spacecraft Dynamics and Control (28 papers). Radhakant Padhi collaborates with scholars based in India, United States and South Africa. Radhakant Padhi's co-authors include S.N. Balakrishnan, Harshal B. Oza, Shaikh Faruque Ali, Mangal Kothari, Xiaohua Wang, Arnab Maity, Vivek Yadav, Abhijit Bhattacharyya, Amit K. Tripathi and J.D. le Roux and has published in prestigious journals such as Automatica, Neural Networks and IEEE Transactions on Control Systems Technology.

In The Last Decade

Radhakant Padhi

140 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Radhakant Padhi India 21 1.1k 964 392 250 175 147 1.8k
Shenmin Song China 25 1.1k 1.0× 1.1k 1.1× 273 0.7× 97 0.4× 352 2.0× 142 1.9k
Di Zhou China 21 1.2k 1.2× 1.3k 1.3× 109 0.3× 79 0.3× 120 0.7× 126 1.8k
Guojian Tang China 25 1.2k 1.1× 633 0.7× 88 0.2× 253 1.0× 146 0.8× 176 1.8k
Defu Lin China 23 1.3k 1.2× 813 0.8× 72 0.2× 293 1.2× 104 0.6× 131 1.7k
Dale Enns United States 20 1.1k 1.0× 2.0k 2.1× 130 0.3× 142 0.6× 105 0.6× 51 2.6k
Suresh M. Joshi United States 28 809 0.8× 3.4k 3.5× 395 1.0× 56 0.2× 179 1.0× 166 3.9k
Ching-Fang Lin United States 19 752 0.7× 884 0.9× 92 0.2× 103 0.4× 317 1.8× 106 1.4k
Honghua Dai China 23 517 0.5× 676 0.7× 124 0.3× 41 0.2× 79 0.5× 79 1.6k
Yao Zou China 27 793 0.7× 1.3k 1.4× 257 0.7× 223 0.9× 109 0.6× 96 2.1k

Countries citing papers authored by Radhakant Padhi

Since Specialization
Citations

This map shows the geographic impact of Radhakant Padhi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radhakant Padhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radhakant Padhi more than expected).

Fields of papers citing papers by Radhakant Padhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radhakant Padhi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radhakant Padhi. The network helps show where Radhakant Padhi may publish in the future.

Co-authorship network of co-authors of Radhakant Padhi

This figure shows the co-authorship network connecting the top 25 collaborators of Radhakant Padhi. A scholar is included among the top collaborators of Radhakant Padhi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Radhakant Padhi. Radhakant Padhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sundaram, Suresh, et al.. (2025). Dynamic Air Traffic Model for Controlled Large Airspace. Journal of Aerospace Information Systems. 22(9). 762–774.
2.
Padhi, Radhakant. (2023). Pilot Command Implementation in Aircrafts: A New Approach Based on Dynamic Inversion. Journal of Aerospace Sciences and Technologies. 234–250. 1 indexed citations
3.
Padhi, Radhakant, et al.. (2021). Quasi-Spectral Unscented MPSP Guidance for Robust Soft-Landing on Asteroid. Journal of Optimization Theory and Applications. 191(2-3). 823–845. 2 indexed citations
4.
Murthy, Aditya, et al.. (2021). A Stochastic Optimal Control Model with Internal Feedback and Velocity Tracking for Saccadic Eye Movements. Biomedical Signal Processing and Control. 68. 102679–102679. 4 indexed citations
5.
Padhi, Radhakant, et al.. (2020). Synthesis of an Adaptive State-constrained Control for MIMO Euler-Lagrange Systems. IFAC-PapersOnLine. 53(2). 5518–5523. 1 indexed citations
6.
Padhi, Radhakant, et al.. (2020). Nonlinear robust neuro-adaptive flight control for hypersonic vehicles with state constraints. Control Engineering Practice. 102. 104526–104526. 18 indexed citations
7.
Padhi, Radhakant, et al.. (2015). Formation Flying using GENEX and Differential geometric guidance law. IFAC-PapersOnLine. 48(9). 19–24. 6 indexed citations
8.
Maity, Arnab, et al.. (2013). Formation Flying of Satellites with G-MPSP Guidance. AIAA Guidance, Navigation, and Control (GNC) Conference. 5 indexed citations
9.
Padhi, Radhakant, et al.. (2013). DR-SNAC Aided Dynamic Inversion Controller for Robust Trajectory Tracking of a Micro-Quadrotor. AIAA Guidance, Navigation, and Control (GNC) Conference. 4 indexed citations
10.
Dwivedi, Padmanabh, et al.. (2012). State Estimation of Spiralling Target with UKF with Generalized Sinusoidal Target Acceleration Model. AIAA Guidance, Navigation, and Control Conference. 2 indexed citations
11.
Padhi, Radhakant, et al.. (2010). Energy Based Suboptimal Reentry Guidance of a Reusable Launch Vehicle Using Model Predictive Static Programming. AIAA Guidance, Navigation, and Control Conference. 6 indexed citations
12.
Padhi, Radhakant, et al.. (2009). Robust Partial Integrated Guidance and Control of Interceptors in Terminal Phase. AIAA Guidance, Navigation, and Control Conference. 13 indexed citations
13.
Padhi, Radhakant, et al.. (2009). Partial integrated guidance and control of surface-to-air interceptors for high speed targets. 5. 4184–4189. 5 indexed citations
14.
Ali, Shaikh Faruque & Radhakant Padhi. (2009). Active vibration suppression of non-linear beams using optimal dynamic inversion. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 223(5). 657–672. 15 indexed citations
15.
Padhi, Radhakant, et al.. (2008). Robustness Study of a Dynamic Inversion Control Law for a High Performance Aircraft. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 4 indexed citations
16.
Padhi, Radhakant, et al.. (2008). Reduced Order Optimal Control Synthesis of a Class of Nonlinear Distributed Parameter Systems Using Single Network Adaptive Critics. International journal of innovative computing, information & control. 4 indexed citations
17.
Bhattacharyya, Abhijit, et al.. (2008). Computationally Efficient Suboptimal Mid Course Guidance Using Model Predictive Static Programming (MPSP). IFAC Proceedings Volumes. 41(2). 3550–3555. 9 indexed citations
18.
Padhi, Radhakant, et al.. (2007). Model-following Neuro-adaptive approach for robust control of high performance aircrafts. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).
19.
Padhi, Radhakant, et al.. (2007). Nonlinear Suboptimal Missile Guidance with Terminal Impact Angle Constraint: A Model Predictive Static Programming Approach. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).
20.
Yadav, Vivek, Radhakant Padhi, & S.N. Balakrishnan. (2007). Robust/Optimal Temperature Profile Control of a High-Speed Aerospace Vehicle Using Neural Networks. IEEE Transactions on Neural Networks. 18(4). 1115–1128. 48 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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